Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Controle por Rejeição Ativa de Perturbações× | Controle Adaptativo× | |
|---|---|---|
| Área | Teoria de controle | Teoria de controle |
| Família | Machine learning | Machine learning |
| Ano de origem≠ | 2009 | 1983 |
| Autor original≠ | Jingquan Han | Karl J. Astrom |
| Tipo | algorithm | algorithm |
| Fonte seminal≠ | Han, J. (2009). From PID to active disturbance rejection control. IEEE Transactions on Industrial Electronics, 56(3), 900-906. DOI ↗ | Astrom, K. J., & Wittenmark, B. (1983). Computer-Controlled Systems: Theory and Design. Prentice Hall. link ↗ |
| Outros nomes | ADRC, Disturbance Rejection Control | Self-Tuning Control, Parameter Estimation Control |
| Relacionados≠ | 2 | 3 |
| Resumo≠ | Active Disturbance Rejection Control (ADRC) is a control method that estimates and cancels disturbances and model uncertainties in real-time using an extended state observer (ESO), treating them as additional 'disturbance states'. Developed by Han and popularized by Gao, ADRC achieves remarkable robustness without requiring precise plant models, making it practical for real-world systems with significant uncertainty and disturbances. | Adaptive Control is a control strategy that adjusts controller parameters in real-time based on online system identification to maintain performance despite changing plant dynamics or uncertain parameters. Pioneered by Astrom and Wittenmark, adaptive control enables robust operation in time-varying environments, from aircraft with fuel depletion to industrial systems with aging components. |
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